Author

Yike Wang

University of California, Berkeley

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Jul 2026

Rethinking the Evaluation of Harness Evolution for Agents

An extensive evaluation of automatic harness evolution for LLM agents is conducted, comparing harness evolution with simple test-time scaling and discovery baselines under comparable feedback and inference budgets, and also evaluating evolved harnesses on held-out tasks to assess whether the discovered improvements generalize.

Yike Wang, Huaisheng Zhu, Zhengyu Hu et al. · arXiv.org · 18 citations

#natural language process... Feb 2026

Small Reward Models via Backward Inference

FLIP (FLipped Inference for Prompt reconstruction), a reference-free and rubric-free reward modeling approach that reformulates reward modeling through backward inference that enables reliable reward modeling in downscaled regimes where judgment methods fail, is proposed.

Yike Wang, Faeze Brahman, Shangbin Feng et al. · arXiv.org · 3 citations